A Dynamic Hybrid Local-spatial Interest Point Matching Algorithm for Articulated Human Body Tracking

Alireza Dehghani, Alistair Sutherland

2014

Abstract

Current interest point (IP) matching algorithms are either local-based or spatial-based. We propose a hybrid local-spatial IP matching algorithm for articulated human body tracking. The first stage is local-based and finds matched pairs of IPs from two lists of reference and target IPs through a local-feature-descriptors-based matching method. The second stage of the algorithm is spatial-based. It starts with the confidently matched pairs of the previous stage, and recovers more matched pairs from the remaining unmatched IPs through graph matching and cyclic string matching. To compensate for the problem of Reference List Leakage (RLL), which decreases the number of reference IPs throughout the frame sequence and causes failure of tracking, an IP List Scoring and Refinement (LSR) strategy is proposed to maintain the number of reference IPs around a specific level. Experimental results show that not only the proposed algorithm increases the precision rate from 61.53% to 97.81%, but also it improves the recall rate from % 52.33 to 96.40%.

Paper Citation

in Harvard Style

Dehghani A. and Sutherland A. (2014). A Dynamic Hybrid Local-spatial Interest Point Matching Algorithm for Articulated Human Body Tracking . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 536-543. DOI: 10.5220/0004786705360543

in Bibtex Style

@conference{icpram14,
author={Alireza Dehghani and Alistair Sutherland},
title={A Dynamic Hybrid Local-spatial Interest Point Matching Algorithm for Articulated Human Body Tracking},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={536-543},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004786705360543},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Dynamic Hybrid Local-spatial Interest Point Matching Algorithm for Articulated Human Body Tracking
SN - 978-989-758-018-5
AU - Dehghani A.
AU - Sutherland A.
PY - 2014
SP - 536
EP - 543
DO - 10.5220/0004786705360543